iPhone18,1
Geekbench AI Score
9145
Single Precision Score
16557
Half Precision Score
17086
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 03:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4256
791.5 IPS |
|
|
Image Classification (HP)
|
100% |
8039
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7493
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6129
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9625
156.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10590
171.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20431
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54303
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59733
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8032
640.8 IPS |
|
|
Face Detection (SP)
|
100% |
11563
137.4 IPS |
|
|
Face Detection (HP)
|
100% |
23102
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
17669
209.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18044
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35181
271.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38411
299.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43986
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96374
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120228
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10465
386.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19261
711.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22396
827.0 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6314
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5107
88.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4691
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4828
83.4 IPS |
